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Titlebook: Business Intelligence for Enterprise Internet of Things; Anandakumar Haldorai,Arulmurugan Ramu,Syed Abdul R Book 2020 Springer Nature Swit

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51#
發(fā)表于 2025-3-30 09:18:25 | 只看該作者
On-the-Go Network Establishment of IoT Devices to Meet the Need of Processing Big Data Using Machinext in developing a dynamic environment where IoT devices can connect and manage their resources on their own. New services are needed to progress the performance and service quality provided by the old services. Self-adaptation is essential for the IoT devices in a dynamic environment. These device
52#
發(fā)表于 2025-3-30 12:39:07 | 只看該作者
53#
發(fā)表于 2025-3-30 18:47:58 | 只看該作者
Performance Evaluation of Different Neural Network Classifiers for Sanskrit Character Recognition,om a handwritten document using optical character recognition (OCR) technique. In our work, geometrical feature extraction and neural network computational algorithm are used for recognizing the offline handwritten Sanskrit characters. Initially the binarization and denoising processes are performed
54#
發(fā)表于 2025-3-30 21:59:19 | 只看該作者
GA with Repeated Crossover for Rectifying Optimization Problems,poses in optimization. Because of the variability in the features of various optimization issues, none of these algorithms are capable of displaying a more robust performance. The differentiating aim of every optimizing issue potentially makes it more difficult. The success of the GA is dependent on
55#
發(fā)表于 2025-3-31 03:30:47 | 只看該作者
An Algorithmic Approach to System Identification in the Delta Domain Using FAdFPA Algorithm, hybrid metaheuristic algorithm that integrates firefly algorithm (FA) with the dynamic flower pollination algorithm (dFPA). FA analyzes the complete search domain, whereas the dFPA is utilized in the process of refining the solutions. The two models (Wiener and Hammerstein models) are used in the p
56#
發(fā)表于 2025-3-31 07:38:05 | 只看該作者
An IoT-Based Controller Realization for PV System Monitoring and Control,his study, the artificial neural network is considered as the inverter control system in PV-based micro-grid, which is optimally placed in a 13-node feeder system. Artificial neural network (ANN) improves the performance and efficiency of the inverter and adjusts power quality. The proposed method i
57#
發(fā)表于 2025-3-31 11:55:14 | 只看該作者
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